This paper is in the following e-collection/theme issue:

Scoping Review Protocols (260) Responsible Health AI (61) Ethical, Legal, and Social Issues in AI (110) Computer-Aided Diagnosis (263) Cardiac Diagnostics (32) Machine Learning (2137) AI Governance and Policy (21) Health Care Quality and Health Services Research (344)

Published on in Vol 15 (2026)

This is a member publication of Bodleian Libraries (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/82486, first published .
Mapping Algorithmic Bias in AI-Powered Electrocardiogram Interpretation Across the AI Life Cycle: Protocol for a Scoping Review

Mapping Algorithmic Bias in AI-Powered Electrocardiogram Interpretation Across the AI Life Cycle: Protocol for a Scoping Review

Mapping Algorithmic Bias in AI-Powered Electrocardiogram Interpretation Across the AI Life Cycle: Protocol for a Scoping Review

Authors of this article:

Luqman Lawal1, 2 Author Orcid Image ;   Christopher Paton1, 3 Author Orcid Image ;   Mike English1 Author Orcid Image ;   Bruno Holthof1 Author Orcid Image ;   Tabitha Preston1 Author Orcid Image
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